code: def generate_data_parametric(
      sqlCtx, multi_steps: bool, table_name: str
  ):
      df, _ = generate_parametric_mdp_pandas_df(
          multi_steps=multi_steps, use_seq_num_diff_as_time_diff=False
      )
      df = sqlCtx.createDataFrame(df)
      logger.info("Created dataframe")
      df.show()
      df.createOrReplaceTempView(table_name)
  
file_path: ReAgent/reagent/test/workflow/test_query_data_parametric.py
imports: import logging
  import unittest
  import numpy
  import pytest
  from pyspark.sql.functions import asc
  from reagent.data.oss_data_fetcher import OssDataFetcher
  from reagent.test.test_data.ex_mdps import generate_parametric_mdp_pandas_df
  from reagent.test.workflow.reagent_sql_test_base import ReagentSQLTestBase
  from reagent.workflow.types import Dataset, TableSpec
label_desc: Use image node_id 1 for calling a global function with example usage: generate_data_parametric(sqlCtx, multi_steps, table_name) without return types